Academic Journal

Does Early Unit Size Impact the Formation of Linguistic Predictions? Grammatical Gender as a Case Study

التفاصيل البيبلوغرافية
العنوان: Does Early Unit Size Impact the Formation of Linguistic Predictions? Grammatical Gender as a Case Study
اللغة: English
المؤلفون: Rana Abu-Zhaya (ORCID 0000-0001-9532-7935), Inbal Arnon
المصدر: Language Learning. 2024 74(4):814-852.
الاتاحة: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 39
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Research
Education Level: Adult Education
Descriptors: Prediction, Grammar, Second Language Instruction, Second Language Learning, Adult Learning, Barriers, Nouns, Form Classes (Languages), Artificial Languages, Hebrew, Linguistic Input, Accuracy, Teaching Methods
DOI: 10.1111/lang.12638
تدمد: 0023-8333
1467-9922
مستخلص: Making adults learn from larger linguistic units can facilitate learning article-noun agreement. Here we ask whether initial exposure to larger units improves learning by increasing the predictive associations between the article and noun. Using an artificial language learning paradigm, we taught 106 Hebrew-speaking participants novel article-noun associations with either segmented input first or unsegmented input first, and tested their learning of the article-noun association and their ability to use articles to predict nouns. Our results showed that participants exposed to unsegmented input first were more likely to treat the article-noun unit as one word and were more accurate at learning the correct article-noun associations. However, participants in the unsegmented-first condition did not show increased gaze to the target compared to those in the segmented-first condition. We discuss how these findings inform our understanding of the challenges that adults face when learning a second language.
Abstractor: As Provided
ملاحظات: https://osf.io/98ak3
Entry Date: 2024
رقم الانضمام: EJ1449605
قاعدة البيانات: ERIC
الوصف
تدمد:0023-8333
1467-9922
DOI:10.1111/lang.12638